I. Pharmacometric modelling & simulation with Pumas.jl
Dates: November 21, 22, 23, and 24, 2021
Time: 11 AM - 3 PM (GMT+8, Taiwan time) (16 hrs in total)
Workshop faculty
Name: Dr. Vijay Ivaturi
Affiliations: University of Maryland School of Pharmacy
Workshop overview
Pharmaceutical Modelling and Simulation (Pumas) is a domain-specific extension of the Julia differential equation solver libraries for performing analyses of pharmacometric models. We will start by showing users how to implement PK/PD models with complex dosing schedules and incorporating population models. Then we will turn to the process of estimating population parameters from data. Next, the capability of Pumas to perform common pre-clinical and clinical data analytics work flows such as Non-compartmental analysis (NCA), In vitro- in vivo correlation (IVIVC), Bio-equivalence (BE) and Clinical Trial Design (CTS) will be introduced. This workshop will be a mix of demonstration and hands-on work where participants will be able to download the Pumas software and perform the analysis in real-time. At the end of the workshop, participants will have an overview of the Pumas toolkit and its utility in modern age computing.
Day 1 (Sunday, November 21)
Time | Course 1 |
11:00 - 11:15 | Introduction and landscape overview of Pumas |
11:15 - 11:45 | Demo of Non-Compartmental analysis using Pumas-NCA GUI |
11:45 – 12:30 | Hands-on with NCA |
12:30 - 12:45 | Break |
12:45 - 13:45 | Demo Case study on Population NLME Analysis |
13:45 - 15:00 | Hands-on Population Pharmacokinetic Analysis |
Day 2 (Monday, November 22)
Time | Course 2 |
11:00 - 12:00 | Understanding the Pumas Model Syntax |
12:00 - 12:30 | Dosage Regimens, Subjects, Populations |
12:30 - 12:45 | Break |
12:45 - 13:45 | Demo Case study on simulation |
13:45 - 15:00 | Hands-on Simulations |
Day 3 (Tuesday, November 23)
Time | Course 3 |
11:00 - 12:00 | Understanding data requirements in Pumas |
12:00 - 12:30 | Fitting Workflow |
12:30 - 12:45 | Break |
12:45 - 13:45 | Demo on post-processing options |
13:45 - 15:00 | Hands-on post-processing |
Day 4 (Wednesday, November 24)
Time | Course 4 |
11:00 - 12:00 | Demo on Multiple response PKPD models |
12:00 - 12:30 | Demo on Discrete data models |
12:30 - 12:45 | Break |
12:45 - 15:00 | Hands-on case study |
II. Disease Progress and Drug Action Workshop (By invitation only)
Date: November 24, 2021
Time: 9 AM - 1 PM (GMT+8, Taiwan time) (4 hrs)
Workshop faculty
Name: Professor Nick Holford
Affiliations: University of Auckland, New Zealand
Workshop overview
The objective of the workshop is to train a group of scientists experience in pharmacometrics to learn how to use disease models to understand drug treatments and to prepare them to pass on this knowledge by teaching others.
When the state of a physiological or pathophysiological process can be observed at a point in time it is called disease status. Disease progression describes the time course of the natural history of disease status. The effects of drug treatments on disease progression requires a link between drug action and disease.
The description of drug action in clinical trials may involve pharmacokinetic, pharmacodynamic, disease progress and drug action components as well as consideration of placebo or nocebo responses. A mixed effect modelling approach will be used to describe disease progress and drug action.
This workshop will review the principles of clinical pharmacology that allow disease progression and drug action to be described in terms of population pharmacometric models.